Analisis Pengaruh Cadangan Devisa, Pendan Sektor Keuangan, dan Gejolak Nilai Tukar Perdagangan Terhadap Stabilisasi Nilai Tukar Riil Rupiah di Indonesia
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
X1
11
32774.19
125931.00
80031.02
30956.68
X2
11
38.79
48.85
43.67
3.06
X3
11
97.82
165.07
121.35
23.59
Y
11
5254.74
9943.64
7650.92
1596.46
Valid N (listwise)
11
Std. Error of
the Estimate
489.26773
DurbinWatson
2.133
Model Summary(b)
Adjusted
Model
R
R Square R Square
1
.967(a)
.934
.906
a Predictors: (Constant), X3, X2, X1
b Dependent Variable: Y
ANOVA(b)
Model
Sum of
Squares
1
Regression
23811154.281
Residual
1675680.362
Total
25486834.644
a Predictors: (Constant), X3, X2, X1
b Dependent Variable: Y
df
3
7
10
Mean Square
7937051.427
239382.909
F
33.156
Sig.
.000(a)
Coefficients(a)
Model
1
(Constant)
X1
X2
X3
Unstandardized
Standardized
Coefficients
Coefficients
B
Std. Error
Beta
2056.679
3131.537
.030
.007
.581
139.290
53.200
.267
-23.782
9.826
-.351
Collinearity
Statistics
Tolerance
VIF
t
Sig.
.657
4.132
2.618
2.420
.532
.004
.034
.475
.906
2.103
1.104
.046
.446
2.244
a Dependent Variable: Y
Universitas Sumatera Utara
N =11
Std. Dev. =0.837
Mean =2.91E-15
Dependent Variable: Y
Histogram
Frequency
3
2
1
0
-2
-1
0
1
2
Regression Standardized Residual
Dependent Variable: Y
Normal P-P Plot of Regression Standardized Residual
Expected Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
0.0
0.2
0.4
0.6
0.8
1.0
Observed Cum Prob
Universitas Sumatera Utara
Dependent Variable: Y
Scatterplot
Regression Standardized Predicted
Value
2
1
0
-1
-2
-2
-1
0
1
2
Regression Studentized Residual
One-Sample Kolmogorov-Smirnov Test
N
Normal Parameters(a,b)
Most Extreme Differences
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a Test distribution is Normal.
b Calculated from data.
Mean
Std. Deviation
Absolute
Positive
Negative
Unstandardized
Predicted Value
11
7650.92
1543.09
.222
.150
-.222
.735
.652
Universitas Sumatera Utara
N
Minimum
Maximum
Mean
Std. Deviation
X1
11
32774.19
125931.00
80031.02
30956.68
X2
11
38.79
48.85
43.67
3.06
X3
11
97.82
165.07
121.35
23.59
Y
11
5254.74
9943.64
7650.92
1596.46
Valid N (listwise)
11
Std. Error of
the Estimate
489.26773
DurbinWatson
2.133
Model Summary(b)
Adjusted
Model
R
R Square R Square
1
.967(a)
.934
.906
a Predictors: (Constant), X3, X2, X1
b Dependent Variable: Y
ANOVA(b)
Model
Sum of
Squares
1
Regression
23811154.281
Residual
1675680.362
Total
25486834.644
a Predictors: (Constant), X3, X2, X1
b Dependent Variable: Y
df
3
7
10
Mean Square
7937051.427
239382.909
F
33.156
Sig.
.000(a)
Coefficients(a)
Model
1
(Constant)
X1
X2
X3
Unstandardized
Standardized
Coefficients
Coefficients
B
Std. Error
Beta
2056.679
3131.537
.030
.007
.581
139.290
53.200
.267
-23.782
9.826
-.351
Collinearity
Statistics
Tolerance
VIF
t
Sig.
.657
4.132
2.618
2.420
.532
.004
.034
.475
.906
2.103
1.104
.046
.446
2.244
a Dependent Variable: Y
Universitas Sumatera Utara
N =11
Std. Dev. =0.837
Mean =2.91E-15
Dependent Variable: Y
Histogram
Frequency
3
2
1
0
-2
-1
0
1
2
Regression Standardized Residual
Dependent Variable: Y
Normal P-P Plot of Regression Standardized Residual
Expected Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
0.0
0.2
0.4
0.6
0.8
1.0
Observed Cum Prob
Universitas Sumatera Utara
Dependent Variable: Y
Scatterplot
Regression Standardized Predicted
Value
2
1
0
-1
-2
-2
-1
0
1
2
Regression Studentized Residual
One-Sample Kolmogorov-Smirnov Test
N
Normal Parameters(a,b)
Most Extreme Differences
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
a Test distribution is Normal.
b Calculated from data.
Mean
Std. Deviation
Absolute
Positive
Negative
Unstandardized
Predicted Value
11
7650.92
1543.09
.222
.150
-.222
.735
.652
Universitas Sumatera Utara